My Academic Resume
Here you can find a summary of my professional profile and expertise as a scientific researcher and R&D engineer.
Basics
Name | Sidi Mohammed Kaddour |
Label | R&D Engineer |
sidi-mohammed.kaddour@imt-atlantique.fr | |
Phone | +33 751 367 949 |
Url | https://gitlab.inria.fr/sikaddou |
Summary | Scientific researcher focused on feedback mechanisms for Edge-to-Cloud applications, adaptive systems, and monitoring. |
Work
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2024.12 - 2026.11 R&D Engineer
STACK/INRIA
developing an extension for Ansible that integrates the coordination mechanisms of Concerto.
- Integrate Concerto with Ansible
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2023.12 - 2024.11 R&D Engineer
STACK/IMT Atlantique
Research and development in Edge-to-Cloud continuum, including feedback mechanisms and Ansible integration.
- Developed adaptive feedback mechanisms
- Executed experiments on Grid’5000
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2019.06 - 2019.08 Visiting PhD Student
Bournemouth University
Worked on smart energy solutions using machine learning.
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2018.07 - 2023.09 Project Manager & Odoo Senior Developer
Groupe Kherbouche
Led ERP projects and customized Odoo modules for internal business processes.
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2017.09 - 2020.09 Temporary University Teacher
University of Tlemcen
Taught Cloud Computing, Advanced OS, and Signal Processing.
Education
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2016.11 - 2023.11 -
2014.09 - 2016.06 -
2011.09 - 2014.06 -
2008.09 - 2011.07
Certificates
ISO 9001 Training | ||
Groupe Kherbouche | 2022-01-01 |
ISO 19011 Internal Auditor Certification | ||
Groupe Kherbouche | 2022-01-01 |
ITIL V4 Foundation Training | ||
AXELOS | 2021-01-01 |
Publications
-
2023.10.01
Skills
Programming | |
Python | |
Java | |
C/C++ | |
Delphi | |
JavaScript |
DevOps & Infra | |
Docker | |
Kubernetes | |
Helm | |
Ansible | |
CI/CD |
Observability | |
Prometheus | |
Grafana | |
OpenTelemetry | |
Zipkin | |
Jaeger |
Machine Learning | |
Scikit-learn | |
Keras | |
KNIME |
Languages
Arabic | |
Fluent |
English | |
Proficient |
French | |
Intermediate |
Projects
- 2024.01 - 2024.12
Edge-to-Cloud Video Processing
Motion detection at edge and object recognition in cloud using YOLO, instrumented with feedback mechanisms.
- 2025.01 - Present
Ansible + Concerto Extension
Ansible module for dynamic software reconfiguration using Concerto models.